Abstract
Many applications are subject to WSN, barely any applications require fast information move with next to no interference and a few applications requires the general throughput rather than the delay. It is entirely dependent on the program's requirements as to which parameters are required for its operation, as each application has its own set of requirements. This paper analyzes routing protocols on the basis of significant parameters such as throughput, delay as well as load on the network. The networks which have been used for experimentation are wireless LAN and ZigBee networks. From this study, we have found that the different protocols have different throughput, delay and network load in same network scale. Like in most of the cases, OLSR provides less jitter, delay and load on network as compared to AODV and DSR. DSR can have the highest of the throughput in large-scale network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hassan SR. Performance analysis of ZigBee based wireless sensor networks [thesis]. Lahore: GCU; 2014. Available from: http://library.gcu.edu.pk/theses.htm
Mokhlesabadifarahani B, Gunjan VK (2015) EMG signals characterization in three states of contraction by fuzzy network and feature extraction. Springer
J.N.A. Karaki, A.N.D.A.E. Kamal Routing techniques in wireless sensor networks: a survey IEEE Wirel. Commun., 11 (6) (2004), pp. 6–28
G Yin, G Yang, W Yang, B Zhang, W Jin. An energy-efficient routing algorithm for wireless. In. International Conference on Internet Computing in Science and Engineering (ICICSE’08), IEEE, China; 2008.
Kumar, S., Gunjan, V. K., Ansari, M. D., & Pathak, R. (2022). Credit Card Fraud Detection Using Support Vector Machine. In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 27–37). Springer, Singapore.
U. P. Nagane and Dr. A. O. Mulani, “Moving Object Detection and Tracking Using Matlab”, Journal of Science and Technology, Volume 6, Special Issue August https://doi.org/10.46243/jst.2021.v6.i04.pp63-66
A. O. Mulani1 and G. N. Shinde, “An approach for robust digital image watermarking using DWT-PCA”, Journal of Science and Technology, Volume 6, Special Issue 1, August 2021. https://doi.org/10.46243/jst.2021.v6.i04.pp59-62
Jadhav M. M., G. H. Chavan and A. O. Mulani, “Machine Learning based Autonomous Fire Combat Turret”, Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(2), 2372‐2381, 2021
Naik, M. V., Anasari, M. D., Gunjan, V. K., & Kumar, S. (2020). A Comprehensive Study of Sentiment Analysis in Big Data Applications. In Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies (pp. 333–351). Springer, Singapore.
Gunjan, V. K., Kumar, S., Ansari, M. D., & Vijayalata, Y. (2022). Prediction of Agriculture Yields Using Machine Learning Algorithms. In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 17–26). Springer, Singapore.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ratnaparkhi, A., Purandare, R., Bang, A., Rajput, A., Venurkar, K. (2022). Performance Analysis of Routing Protocols for Wireless Sensor Networks. In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2350-0_2
Download citation
DOI: https://doi.org/10.1007/978-981-19-2350-0_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-2349-4
Online ISBN: 978-981-19-2350-0
eBook Packages: Computer ScienceComputer Science (R0)